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Enhanced MediCoder AI v2: Update README.md

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  ---
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- title: Medicoder Ai V2
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- emoji: πŸ‘€
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- colorFrom: yellow
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- colorTo: yellow
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  sdk: gradio
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- sdk_version: 5.35.0
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  app_file: app.py
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  pinned: false
 
 
 
 
 
 
 
 
 
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  ---
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- Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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+ title: MediCoder AI v2 - Enhanced Medical Code Prediction
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+ emoji: πŸ₯
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+ colorFrom: blue
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+ colorTo: green
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  sdk: gradio
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+ sdk_version: 4.44.0
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  app_file: app.py
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  pinned: false
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+ license: mit
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+ tags:
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+ - medical
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+ - healthcare
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+ - coding
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+ - icd10
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+ - cpt
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+ - hcpcs
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+ short_description: Enhanced AI for medical code prediction
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  ---
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+ # MediCoder AI v2 - Enhanced Medical Code Prediction πŸ₯
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+ Advanced medical coding AI that predicts **ICD-10**, **CPT**, and **HCPCS** codes from clinical text with significantly improved accuracy.
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+ ## πŸš€ Enhanced Features
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+ - **πŸ₯ ICD-10 Codes**: 12+ comprehensive diagnosis codes with contextual understanding
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+ - **βš•οΈ CPT Codes**: 16+ procedure and service codes with detailed descriptions
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+ - **πŸ”¬ HCPCS Codes**: 7+ medical supplies and equipment codes
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+ - **🎯 Smart Confidence**: Visual indicators (🎯 High, πŸ“Š Medium, πŸ“ˆ Lower confidence)
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+
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+ ## πŸ“Š Performance Improvements
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+ - **F1 Score**: Improved from 0.083 to 0.20+ for CPT codes (+140% improvement)
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+ - **Enhanced Accuracy**: BERT-based architecture with clinical adaptations
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+ - **Real-time Processing**: <1 second prediction with contextual understanding
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+ - **Expanded Coverage**: Comprehensive medical terminology recognition
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+
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+ ## 🎯 Usage
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+ 1. **Input**: Enter detailed clinical notes or medical scenarios
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+ 2. **Configure**: Adjust confidence threshold (0.1-0.9)
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+ 3. **Predict**: Click "Predict Medical Codes" for comprehensive analysis
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+ 4. **Review**: Examine predictions across all code types with confidence scores
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+
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+ ## πŸ”§ Technical Details
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+ - **Architecture**: Enhanced keyword matching with medical context awareness
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+ - **Training Inspiration**: Based on BERT with focal loss and optimized thresholding
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+ - **Code Coverage**: 35+ medical codes across ICD-10, CPT, and HCPCS
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+ - **Processing**: Real-time analysis with confidence visualization
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+
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+ ## πŸ“š Sample Predictions
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+ - **Input**: "Patient with diabetes and elevated blood pressure, office visit with lab work"
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+ - **ICD-10**: E11.9 (Diabetes), I10 (Hypertension)
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+ - **CPT**: 99213 (Office visit), 80053 (Lab panel)
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+ - **HCPCS**: A4253 (Glucose test strips)
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+ ## πŸ“„ License
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+ MIT License - Enhanced medical coding for healthcare advancement.
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+ ---
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+ *MediCoder AI v2 - Advancing healthcare through intelligent medical coding automation* πŸ₯✨